Machine Vision For Mining

Machine Vision for Mining is a subfield of computer vision and mine automation that develops and applies imaging-based sensing and algorithms to automatically perceive, analyze, and support the monitoring and control of mining processes, equipment, and environments.

331

Publications

10.5K

Citations

1.1K

Authors

318

Institutions

Publications per year

2017–2026

185

Authors

1.1K

  1. ZZ
    Zelin Zhang

    Wuhan University of Science and Technology, China

    8 publications · 401 citations

    8

    h-index

  2. NM
    Nada Milisavljević

    Royal Military Academy, Belgium

    6 publications · 157 citations

    6

    h-index

  3. IB
    Isabelle Bloch

    Télécom Paris, France

    5 publications · 142 citations

    5

    h-index

  4. SZ
    Shuanfeng Zhao

    Xi'an University of Science and Technology, China

    5 publications · 168 citations

    5

    h-index

  5. DX
    Dong Xiao

    Northeastern University, China

    5 publications · 234 citations

    5

    h-index

1–5 of 1.1K

Venues

  1. Sensors

    14 publications · 463 citations

    13

    h-index

  2. IEEE Access

    11 publications · 437 citations

    11

    h-index

  3. 10

    h-index

  4. Minerals Engineering

    8 publications · 554 citations

    8

    h-index

  5. Powder Technology

    7 publications · 430 citations

    7

    h-index

1–5